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The AI Engineer Path

ScrimbaScrimba
Recommended
Meet Your Instructors
Per Borgen avatar

Per Borgen

Instructor

Developer, teacher, and co-founder of Scrimba. I love teaching people how to code and helping them break into the tech industry. Based in Oslo, Norway.

8h 12m

Format

Interactive coding

Subscription

What You'll Learn

Build production-ready generative AI applications

Master prompt engineering for optimal AI responses

Work with embeddings and vector databases

Deploy and integrate open-source AI models

Create intelligent agents for complex tasks

Overview

Build apps powered by generative AI - an essential 2025 skill for product teams at startups, agencies, and large corporations. As the tech industry embraces AI like never before, the demand for AI engineers is skyrocketing. Companies are actively seeking developers who can bridge the gap between traditional programming and AI capabilities. This path transforms you from a developer into an AI engineer through hands-on projects. You'll build real-world applications like AI chatbots, content generators, and intelligent search systems while learning the core concepts that power modern AI applications. Through interactive challenges and real-world projects, you'll master prompt engineering, work with embeddings and vector databases, deploy AI models, and integrate cutting-edge tools like OpenAI's APIs and the Model Context Protocol. The curriculum covers everything from basic AI concepts to advanced topics like agents and multimodality. By the end of this comprehensive 8.2-hour course, you'll have the practical skills and portfolio projects needed to confidently build AI-powered applications and advance your career in this rapidly growing field.

Table of Contents
1
Intro to AI Engineering104 min
2
Deployment50 min
3
Open-source Models33 min
4
Embeddings and Vector Databases94 min
5
Agents117 min
6
Model Context Protocol37 min
7
Multimodality62 min
8
OpenAI's Assistants API30 min

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